01154629

Component

https://doi.org/10.3141/2178-11

http://scholar.google.com...tini&publication_year=2010

Systems for automatically tracking traffic congestion that are integrated into freeway management systems as applications of an intelligent transportation system (ITS) have received a high level of attention in many cities in recent years. Some cities automatically provide traveler information on travel times, congestion activation times, and locations. However, different algorithms are used by professionals and decision makers. Some popular algorithms for automatically tracking congestion include parameter threshold–based algorithms such as those that use speed thresholds and the Automatische Staudynamikanalyse [automatic tracking of moving traffic jams–forecasting of traffic objects (ASDA-FOTO)] models. The rescaled cumulative curve tool has also been used for analyzing traffic features. The advantage of this tool is that it reveals traffic features in more detail, but one disadvantage is that it is a visual tool. When used to process data systematically in an operations environment, this tool can make analysis laborious. This paper proposes two algorithms for automatically tracking congestion by making use of the rescaled cumulative curve tool and compares them with the traditional speed threshold algorithm and the ASDA-FOTO algorithm. The results are represented graphically and numerically.

01326542

10-2688

English

pp 101-110

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309160490

Print

Figures (9) ; References (18)

Algorithms; Freeway management systems; Freeways; Traffic congestion

Traffic analysis tools

Portland (Oregon)

Highways; Operations and Traffic Management; I73: Traffic Control

TRIS, TRB, ATRI

Jan 25 2010 11:18AM

• Analysis of Cascading Incident Event Durations on Urban Freeways
• Dynamic Toll Concept to Assess Feasibility of High-Occupancy Vehicle Lane on Kyungbu Freeway, South Korea
• Empirical Method for Estimating Traffic Incident Recovery Time
• Estimation of Freeway Traffic Density with Loop Detector and Probe Vehicle Data
• Exploration of Operational Concepts of Interoperability for Robust Interregional Transportation System Operations
• Freeway Operations, Spatiotemporal-Incident Characteristics and Secondary-Crash Occurrence
• Freeway Sensor Spacing and Probe Vehicle Penetration: Impacts on Travel Time Prediction and Estimation Accuracy
• Heuristic Ramp-Metering Coordination Strategy Implemented at Monash Freeway, Australia
• Local Ramp Metering in Random-Location Bottlenecks Downstream of Metered On-Ramp
• Modeling Accident Duration and Its Mitigation Strategies on South Korean Freeway Systems
• Predicting Freeway Travel Time Under Incident Conditions
• Queue Management Techniques for Metered Freeway On-Ramps (With Discussion)
• Simulation Tool to Assess Impacts of Parameters of Service Patrol Operations
• Spatial Analysis and Modeling of Traffic Incidents for Proactive Incident Management and Strategic Planning
• Stochastic Characteristics of Freeway Traffic Speed During Breakdown and Recovery Periods
• To What Extent Can High-Occupancy Vehicle Lanes Reduce Vehicle Trips and Congestion? Exploratory Analysis Using National Statistics
• Violations Modeling in Studies of Concurrent-Flow Lanes
• What Drives Decisions of Single-Occupant Travelers in High-Occupancy Vehicle Lanes? Investigation Using Archived Traffic and Tolling Data from MnPASS Express Lanes